通过人机智能交互来改善室内设计和空间规划
1School of Design, Shenzhen City Polytechnic, Shenzhen, 5180381, Guangdong Province, China. a138672@correo.umm.edu.mx.
Scientific reports
|September 2, 2025
概括
这项研究介绍了室内设计的人工智能框架, 将空间认知与机器学习整合为共同创意设计. 它增强了实时决策和用户偏好在空间规划中的整合.
科学领域:
- 人工智能
- 人与计算机的交互
- 计算设计
背景情况:
- 现有的空间能力研究缺乏实时决策支持和机器辅助的创造力,
- 之前的模型 (例如,模糊的DEMATEL,ISM) 关注的是认知元素,而不是集成的AI驱动的设计过程.
研究的目的:
- 提出一个智能框架,将空间认知见解与机器交互相结合,以改善室内设计和空间规划.
- 开发一个以人工智能为基础的设计过程, 结合以人为中心的视角和现实世界的应用.
主要方法:
- 一个混合模型,将CenterNet用于空间检测,StyleGAN3用于视觉生成,以及一个用于用户交互逻辑的变压器模型.
- 使用用户意图 (文本,草图,空间信号) 来指导人工智能生成上下文相关的内部设计.
主要成果:
- 中心网实现了高空间定位精度 (mAP@0.75=84.3%).
- StyleGAN3产生了多样化,高质量的室内视觉效果 (FID = 11.6).
- 人类评估显示高可用性满意度和创造力支持 (平均得分:4.5/5).
结论:
- 集成的人工智能系统有效地将创造性的艺术认知与空间思维相结合,
- 该框架提供了增强的实用性,美学吸引力,并考虑了室内设计中的用户偏好.
- 这种方法代表了与指令建模相比的重大进步,使机器辅助共设计成为可能.
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